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» A Bayesian Computational Cognitive Model
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CHI
2009
ACM
16 years 2 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
RECOMB
2003
Springer
16 years 2 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
INTERSPEECH
2010
14 years 8 months ago
Active word learning under uncertain input conditions
In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
Maarten Versteegh, Louis ten Bosch, Lou Boves
NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 1 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
NIPS
2003
15 years 3 months ago
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models....
Thomas Natschläger, Wolfgang Maass